Project Description:
Data Visualization is the first step towards getting an insight into a large data set in every data science project. Once the data has been acquired and preprocessed (cleaned and deduplicated), the next step in the Data Science Life Cycle is Exploratory Data Analysis which kicks off with visualization of the data. The aim here is to extract useful information from the data.
We have used Python and its few powerful libraries to achieve the task. Also, to write the code so as to avoid the hassle of installing any IDE or packages in case you wish to follow along.
COVID-19 outbreak was first reported in Wuhan, China, and has spread to more than 100 countries. WHO declared COVID-19 as a Public Health Emergency of International Concern (PHEIC) on 30 January 2020. Naturally, a rising infectious disease involves fast-spreading, endangering the health of large numbers of people, and thus requires immediate actions to prevent the disease at the community level.
Dependencies to execute the project
You need to have python 3 or above and the following modules to successfully execute the project
1.Pandas
2.Numpy
3.Matplotlib and Seaborn
4.Scikit Learn
You should also have the basic knowledge of how to use Jupyter Notebook
To Install Jupyter Notebook-
pip install notebookRun the above command in your Terminal.
To start the Jupyter Notebook type the following in your Terminal
jupyter notebook
To install any module simply run the below command in your terminal
pip install <module name>
Now this will open an interface on your default browser, you need to choose the notebook files to run.
google drive for the complete code here
Now download all the files to your local computer and execute each cell in the same order
example executions
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| Image showing confirmed cases around the globe |
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| Image showing recovered , active , total number of cases. |